✦ the outfit post, rebuilt

post thefit. tag the pieces.

photograph every piece. link every source. publish the breakdown. fitpic is the wardrobe app for people who take fashion seriously.

see how it works

✦ the wardrobe

your whole
closet, catalogued.

photograph your pieces. tag brand, category, color. build a wardrobe that's actually searchable. finally know what you own.

500+pieces per wardrobe, fully taggedunlimited
outfit boards you can buildpro
3sto photograph, tag, and save a piecefast

✦ mix & match

build the outfit
before you wear it. on canvas.

Drag & arrange

pull pieces from your wardrobe onto a blank canvas.

Save boards

name the mood, save the board, revisit when the season shifts.

Share it

export the collage or publish it as a tagged fit post.

✦ AI stylist

meet Leonne.
your personal stylist.

built on your wardrobe. powered by taste. Leonne knows what you own, suggests what to wear, and never forgets your aesthetic.

mood-based outfit suggestions from your own pieces

occasion-aware styling — gallery openings, errands, nights out

mix & match ideas you wouldn't have thought to try

tracks what you've worn, what's been forgotten

Leonne AI stylist screen

✦ drop the fit

post it. tag it. share the source.

FitPic posting screen with tagged items

✦ brand drops

where the
brands live.

independent labels and global brands listing products directly to the people who already have the aesthetic. not demographics — wardrobe alignment.

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Standard

85%

revenue share on every sale. you set the price. we handle the reach.

Partner

90%

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Archive

BYS3M

conceptual basics with worn-in character.

85% rev share
Contemporary

USO DEPARTMENT

Japanese fabrics, restrained silhouettes.

85% rev share
MinimalistPartner

SHOPWITHTESSA

soft construction, earthy palette, slow fashion.

90% rev share
Workwear

ISSEY MIYAKE

utility recontextualised for the everyday wardrobe.

85% rev share
Streetwear

STÜSSY

the original cult graf, on everything since 1980.

85% rev share
Open call

YOUR BRAND

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The FitPic Editorial
Fashion Culture QuarterlyVol. I · Est. 2025
Style is a language. Learn to read it.
digital wardrobe · outfit culture · brand identity · personal style · AI styling · gen-z fashion · the fit breakdown · community taste
feature

The Wardrobe as Living Archive

Every closet tells a story. Not the story of shopping — the story of choosing. The pieces that survived three moves and two aesthetic shifts. The coat bought for a version of yourself you were still becoming. Fashion culture has always been oral in nature: passed in fits, comments, screenshots, DMs, and saved folders. But the artifact — the breakdown, the source, the why behind the what — has never had a permanent address. Until now.

FitPic was built around a simple observation: the most interesting part of any outfit post is the information that doesn't survive the caption. Where the trousers are from. What the brand is. How to find it. That context disappears into comment threads and screenshot folders — and the internet is worse for it.

culture

Why the Flat Post Is Broken

You see the fit. The comments fill immediately. "WHAT ARE THE TROUSERS." Someone replies with a brand. Someone else posts the wrong link. The poster is in the DMs explaining the same thing twelve times. Three hours later the information is buried. The outfit still exists. The story around it is gone.

This is the fundamental problem with outfit content as it currently exists — not the fit itself, but the infrastructure around it. FitPic is the infrastructure.

"The outfit post was the last great undocumented form of cultural expression."

— The FitPic Editorial, Vol. I
brands

The Community Brand Play

The most interesting fashion labels don't buy ads. They find the people who already understand the aesthetic. FitPic's marketplace puts products in front of the people most likely to actually wear them — not by demographics, but by wardrobe alignment. That's a different kind of reach entirely.

2.3B

outfit posts across social platforms last year — almost none with shoppable metadata

analysis

Leonne and the Personal AI Stylist Moment

Personal AI stylists are arriving. The difference is that Leonne doesn't start from a generic fashion database — she starts from your wardrobe. The suggestions aren't hypothetical. They're specific to what you actually own, what you've worn recently, and what the occasion demands. It's the difference between a magazine recommendation and advice from someone who has actually seen your closet.

Gen Z

the first generation to treat their wardrobe as a personal database worth indexing

THE FITPIC EDITORIALFashion Culture Quarterly · Vol. I · 2025editorial@fitpic.co

✦ the team

three people.
one shared conviction.

a note from the founders

Why FitPic exists.

We kept seeing the same thing happen over and over: someone posts a fit, everyone loves it, and then the real story gets lost. The trousers vanish into the comments. The shoes become a DM. The details end up in screenshots, saved folders, and half-remembered replies. The taste is obvious. The context somehow disappears.

FitPic is our way of fixing that. We want outfit posts to open up instead of stopping flat. We want the fit, the pieces, the source, and the why behind it all to live in one place that still feels stylish, light, and fun to share.

This is for the people who notice the hem, the shape, the shoe, the tiny detail that changes everything. The people who save looks like references. The people who always ask where it is from.

Mohammed + Gabriel + Semiat

✦ tap in

get early
access.

for creators, outfit obsessives, and everyone always getting "where is that from?"

first wave dropping soon — grab your spot.